Hybrid transactional/analytical processing: Difference between revisions

Revision as of 13:48, 17 November 2020

Revision as of 20:21, 16 December 2020

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Some challenges for HTAP include limited industry experience and skills, as well as undefined best practices.<ref name=Pezzini />

HTAP functionality is offered by database companies, such as [[Microsoft Azure]] Synapse Link<ref>{{Cite web|url=https://www.zdnet.com/article/a-closer-look-at-azure-synapse-link/|title=A closer look at Azure Synapse Link|website=www.zdnet.com|access-date=2017-04-15}}</ref> for [[Cosmos DB]], DbAlibaba DRDS, LeanXcale,<ref>{{Cite web|url=https://www.bloorresearch.com/research/hybrid-real-time-data-processing/|title=Hybrid real-time data processing|last=Research.|first=Bloor|website=bloorresearch.com|language=en-us|access-date=2019-10-30}}</ref> [[TiDB]],<ref>{{Cite news|url=https://www.datanami.com/2018/02/22/hybrid-database-capturing-perishable-insights-yiguo/|title=The Hybrid Database Capturing Perishable Insights at Yiguo|date=2018-02-22|work=Datanami|access-date=2018-03-02|language=en-US}}</ref><ref>{{Cite news|url=https://www.infoworld.com/article/3313327/database/how-tidb-combines-oltp-and-olap-in-a-distributed-database.html|title=How TiDB combines OLTP and OLAP in a distributed database|last=Xu|first=Kevin|work=InfoWorld|access-date=2018-11-14|language=en}}</ref> Hubble, [[ArangoDB]], [[Aerospike (database)|Aerospike]], [[GridGain Systems|Apache Ignite/GridGain In-Memory Data Fabric]], [[IBM]] [[IBM_Db2]] IDAA,<ref> [https://www-01.ibm.com/events/wwe/grp/grp004.nsf/vLookupPDFs/02%20-%20Dan%20Wardman%20%20-%20Real%20Time%20Analytics%20with%20IDAA%20and%20Big%20Data%20on%20System%20z/$file/02%20-%20Dan%20Wardman%20%20-%20Real%20Time%20Analytics%20with%20IDAA%20and%20Big%20Data%20on%20System%20z.pdf "Real Time Analytics with IDAA and Big Data on System z"]</ref> [[InterSystems]],<ref>{{Cite web|url=https://www.gartner.com/reviews/market/operational-dbms|title=Operational Database Management Systems (ODBMS) Software Reviews|last=Inc.|first=Gartner|website=Gartner|language=en-us|access-date=2018-02-14}}</ref><ref>{{Cite journal|last=Gartner|date=12 Feb 2018|title=Critical Capabilities for Operational Database Management Systems|url=https://www.gartner.com/doc/3855663?ref=SiteSearch&sthkw=Critical%20Capabilities%20for%20Operational%20Database%20Management%20Systems&fnl=search&srcId=1-3478922254|journal=Gartner|volume=|pages=|via=}}</ref> [[Kdb+]], [[Microsoft SQL Server]], [[Neo4j]], [[Oracle 12c In-Memory]],<ref name="oracle.com 2018">{{cite web |title=Leading-edge Database technology now available in all environments |website=oracle.com |url=https://www.oracle.com/corporate/pressrelease/oracle-database-avail-everywhere-030617.html |archive-url=https://web.archive.org/web/20180828115603/https://www.oracle.com/corporate/pressrelease/oracle-database-avail-everywhere-030617.html |archive-date=2018-08-28 |url-status=dead}}</ref> [[SAP HANA]],<ref>{{Cite web|url = http://www.cioreview.com/cxoinsight/internet-of-everything-and-hybrid-transactional-analytical-processing--nid-12929-cid-49.html|title = Internet of Everything and Hybrid Transactional Analytical Processing|last = Review|first = CIO|website = CIOReview|access-date = 2016-03-26}}</ref><ref>{{Cite web|url = https://www.gartner.com/doc/reprints?id=1-2OW5H99&ct=151005&st=sb|title = Gartner Reprint|website = www.gartner.com|access-date = 2016-03-26}}</ref> [[MemSQL]], [[MongoDB]], [[VoltDB]], [[NuoDB]], [[OrientDB]], [[DataStax]], [[eXtremeDB]], [[Splice Machine]],<ref>{{cite web |title=The Splice Machine Data Platform |url=https://splicemachine.com/product/data-platform/ |website=Splice Machine}}</ref> [[EsgynDB]], [[Spanner (database)|Cloud Spanner]], HarperDB, [[Amazon Aurora]] (Parallel Query), BlobCity, [[Couchbase]],<ref>https://www.datanami.com/2018/09/20/couchbase-to-deliver-parallel-json-analytics-without-the-etl/</ref> [[YugabyteDB]]<ref>https://docs.yugabyte.com/latest/faq/general/</ref> and Postgres.

==References==